> ## Documentation Index
> Fetch the complete documentation index at: https://docs.compute-desk.com/llms.txt
> Use this file to discover all available pages before exploring further.

# GPU Selection

> How to find the right GPU using family names and canonical names

## GPU naming

The Compute Clear API uses two levels of GPU identification:

| Level              | Example                 | Scope                                           |
| ------------------ | ----------------------- | ----------------------------------------------- |
| **Family name**    | `H100`                  | Matches all variants of H100 (SXM5, PCIe, etc.) |
| **Canonical name** | `nvidia-h100-sxm5-80gb` | Matches one exact GPU variant                   |

Use family names for broad searches. Use canonical names when you need a specific interconnect or VRAM configuration.

## Discovering available GPUs

```bash theme={null}
curl https://supply-api.compute-desk.com/available_gpus \
  -H "Authorization: Bearer $TOKEN"
```

The response maps family names to their canonical variants:

```json theme={null}
{
  "H100": ["nvidia-h100-sxm5-80gb", "nvidia-h100-pcie-80gb"],
  "A100": ["nvidia-a100-sxm4-80gb", "nvidia-a100-pcie-80gb", "nvidia-a100-pcie-40gb"],
  "L40S": ["nvidia-l40s-pcie-48gb"]
}
```

## Using GPU types in offers

Both formats work in `/get_offers`:

```yaml theme={null}
# Family name — matches all H100 variants
compute:
  gpu_type: H100

# Canonical name — matches only SXM5 80GB
compute:
  gpu_type: nvidia-h100-sxm5-80gb
```

## Popular GPU families

| Family   | Use case                        | Typical price range |
| -------- | ------------------------------- | ------------------- |
| H100     | Large model training, inference | \$2-5/GPU/hr        |
| H200     | Next-gen training, high-memory  | \$3-6/GPU/hr        |
| A100     | Training, fine-tuning           | \$1-3/GPU/hr        |
| L40S     | Inference, mixed workloads      | \$1-2/GPU/hr        |
| L4       | Cost-effective inference        | \$0.30-1/GPU/hr     |
| RTX 4090 | Budget training, inference      | \$0.30-0.80/GPU/hr  |

<Note>
  Prices vary by vendor, region, and contract type. Use `/get_offers` with `max_price_per_gpu_hour` to find options within your budget.
</Note>

## Filtering by vendor and region

Combine GPU selection with vendor and region filters:

```yaml theme={null}
vendor: nebius
region: EU
compute:
  gpu_type: H100
  gpu_count: 8
  max_price_per_gpu_hour: 4
  contract_type: ondemand
```